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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Generalization and Representational Limits of Graph Neural Networks ICML 2020 Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NeurIPS 2020 Generalization Bound of Gradient Descent for Non-Convex Metric Learning NeurIPS 2020 Generalization bounds for deep convolutional neural networks ICLR 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NeurIPS 2020 Generalization Error of Generalized Linear Models in High Dimensions ICML 2020 Generalization Guarantees for Imitation Learning CoRL 2020 Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020 Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint ICLR 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks UAI 2020 Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NeurIPS 2020 Generalized Leverage Score Sampling for Neural Networks NeurIPS 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 Generalized Optimal Matching Methods for Causal Inference JMLR 2020 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data ICML 2020 Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation CVPR 2020 General patterns and language variation: Word frequencies across English, German, and Chinese COLING 2020 General Purpose MRF Learning with Neural Network Potentials IJCAI 2020 Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020 Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction COLING 2020